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Reconstructing Street-Scenes in Real-Time From a Driving Car (bibtex)
Reconstructing Street-Scenes in Real-Time From a Driving Car (bibtex)
by V. Usenko, J. Engel, J. Stueckler and D. Cremers
Reference:
Reconstructing Street-Scenes in Real-Time From a Driving Car (V. Usenko, J. Engel, J. Stueckler and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. 
Bibtex Entry:
@inproceedings{usenko15_3drecon_stereolsdslam,
 author = {V. Usenko and J. Engel and J. Stueckler and D. Cremers},
 title = {Reconstructing Street-Scenes in Real-Time From a Driving Car},
 booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
 month = {oct},
 year = {2015},
 keywords = {slam, stereo, semidense, reconstruction, vslam},
}
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31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

17.07.2022

AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.

05.07.2022

We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

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